Ant colony optimization based self-organizing QoS framework in IP networks

Authors:
Young-Min Kim;Eun-Jung Lee;Hong-Shik Park
Affiliations:
Korea Advanced Institute of Science and Technology, S. Korea;Korea Advanced Institute of Science and Technology, S. Korea;Korea Advanced Institute of Science and Technology, S. Korea
Venue:
IEEE Communications Letters
Year:
2010

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Abstract

We propose an ant colony optimization based self-organizing QoS framework, referred to as AntQoS. AntQoS introduces a new concept named QoS colony which is a virtual sub colony to heuristically search a sub-optimal path for given QoS requirements in real-time. Compared with previous QoS frameworks, AntQoS provides two promising capabilities using QoS colonies: 1) self-organizing network QoS (not pre-defined class-based QoS), which autonomously reconfigures itself by promptly adapting to the changing network status, and 2) self-organizing controls, which autonomously resolve network congestion and resist network failures. Simulation results show that AntQoS guarantees diverse QoS requirements of emerging services while increasing network throughput.